tidytext: Text Mining and Analysis Using Tidy Data ...

← Back to document page

tidytext : Text Mining and Analysis Using tidy DataPrinciples in RJulia Silge1and David Robinson21Datassist2Stack Review Repository ArchiveLicenceAuthors of JOSS papers retaincopyright and release the work un-der a Creative Commons Attri-bution International License(CC-BY).SummaryThe tidytext package (Silge, Robinson, and Hester 2016) is an R package (R Core Team2016) for text Mining Using tidy data principles . As described by Hadley Wickham (Wick-ham 2014), tidy data has a specific structure: each variable is a column each observation is a row each type of observational unit is a tableTidy data sets allow manipulation with a standard set of tidy tools, including popu-lar packages such as dplyr (Wickham, Francois, and RStudio 2015), ggplot2 (Wickham,Chang, and RStudio 2016), and broom (Robinson et al.)

tidytext: Text Mining and Analysis Using Tidy Data Principles in R Julia Silge1 and David Robinson2 ... The following is an example visualization made using tidytext’s text mining and sentiment analysis tools. References Benoit, Kenneth, and Paul Nulty. 2016. Quanteda: Quantitative Analysis of Textual ...

  Analysis, Using, Principles, Data, Texts, Mining, Text mining, Tidy, Text mining and analysis, Tidytext, Text mining and analysis using tidy data principles